Modeling Factors Affecting Student’s Usage Behaviour of E-Learning Systems in Lebanon

Abstract

This study seeks to explore the factors that influence students' usage behaviour of e-learning systems. Based on the strong theoretical foundation of the Unified Theory of Acceptance and Use of Technology (UTAUT) and using structural equation modeling (SEM) via AMOS 21.0, this research paper examines the impact of performance expectancy, effort expectancy, hedonic motivation, habit, social influence, and trust on student's behavioural intention, which is later examined along with facilitating conditions on student's usage behaviour of e-learning systems. Data was collected from students at two universities in Beirut (capital of Lebanon) using a cross-sectional questionnaire survey between January and March 2015. The results revealed direct positive effect of performance expectancy, hedonic motivation, habit, and trust on student's behavioural intention to use e-learning explaining around 71% of overall behavioural intention. Meanwhile, behavioural intention and facilitating conditions accounted for 40% with strong positive effects on student's usage behviour of e-learning systems. However, both effort expectancy and social influence did not impact student's behavioural intention.

The Role of Facilitating Conditions and User Habits: A Case of Indonesian Online Learning Platform

“…User habits had a significant effect on behavioral intention. The results of the analysis for construct facilitating conditions were in line with the results of previous studies on online learning, which state that there is a significant relationship between facilitating conditions and behavioral intention (Razak et al, 2017;Masadeh et al, 2016;Raman & Don, 2013). Factors such as lack of assistance and timely support, incomplete information, and limited resources can prevent individuals from accepting web-based technology (Masadeh et al, 2016).…”

“…In contrast, women have a tendency to put more emphasis on external supporting factors. More experience can lead to greater familiarity with technology and better knowledge to facilitate learning, thereby reducing dependence on external support (Kamaghe et al, 2020;Masadeh et al, 2016). People's views of technological developments in the context of the relationship between the industrial revolution and environment have changed from negative to positive.…”

An Empirical Investigation of Factors Predicting the Adoption and Use of Local E-government Services: A Conceptual Framework

“…PU is considered by Davis [9] as one of the most determinants on the behavioral intention to use. It has also been validated that PU has a direct significant impact on the Actual Use of technology related tasks/applications [24,25,26]…”

Factors affecting the intention to use online shopping apps in Ho Chi Minh City

“…Động lực thụ hưởng bao gồm sự thoải mái, niềm sung sướng, hạnh phúc có được từ việc sử dụng dịch vụ 26 . Trong nghiên cứu về hệ thống thông tin, động lực thụ hưởng có ảnh hưởng trực tiếp đến sự chấp nhận và sử dụng công nghệ 27 . Trong bối cảnh người tiêu dùng, động lực thụ hưởng cũng đã được tìm thấy như là một yếu tố quan trọng quyết định đến sự chấp nhận và sử dụng công nghệ.…”